Factors associated with research participation in a large primary care practice-based pediatric cohort: Results from the TARGet Kids! longitudinal cohort study

Li, Xuedi; Keown‐Stoneman, Charles; Borkhoff, Cornelia M.; Wong, Peter; Arafeh, Dana; Tavares, Erika; Thadani, Sharon; Maguire, Jonathon L.; Birken, Catherine S.

doi:10.1371/journal.pone.0284192

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…17 Research assistants used calibrated digital equipment (Seca, Hamburg, Germany) and reliable measurement techniques to obtain anthropometrics. 17,18 Body mass index (BMI) was determined by dividing weight in kilograms by length in metres squared. 19 BMI was then standardised by age and sex using the WHO growth references to determine the z-score.…”

Section: Methodsmentioning

confidence: 99%

“…Trained research assistants facilitated the collection of data and obtained weight in kilograms and length in centimetres 17 . Research assistants used calibrated digital equipment (Seca, Hamburg, Germany) and reliable measurement techniques to obtain anthropometrics 17,18 . Body mass index (BMI) was determined by dividing weight in kilograms by length in metres squared 19 .…”

Section: Methodsmentioning

confidence: 99%

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Underweight in the first 2 years of life and nutrition risk in later childhood: a prospective cohort study

South,

Keown‐Stoneman,

Birken

et al. 2023

J Human Nutrition Diet

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BackgroundChildren with underweight in the first 2 years have lower body mass index z‐score (zBMI) and height‐for‐age z‐score (HAZ) in later childhood. It is not known if underweight in the first 2 years is associated with nutrition risk in later childhood.Objective(1) Determine the relationship between underweight (zBMI < −2) in the first 2 years and nutrition risk measured by the Nutrition Screening for Toddlers and Preschoolers (NutriSTEP) score from 18 months to 5 years. (2) Explore the relationship between underweight in the first 2 years and the NutriSTEP subscores for eating behaviours and dietary intake from 18 months to 5 years.MethodsThis was a prospective study, including healthy full‐term children in Canada aged 0–5 years. zBMI was calculated using measured heights and weights and the WHO growth standards. NutriSTEP score was measured using a parent‐completed survey and ranged from 0 to 68. Nutrition risk was defined as a score ≥21. Linear mixed effects models were used.ResultsFour thousand nine hundred twenty‐nine children were included in this study. At enrolment, 51.9% of participants were male. The prevalence of underweight children was 8.8%. Underweight in the first 2 years was associated with higher NutriSTEP (0.79, 95% CI: 0.29,1.29), higher eating behaviour subscore (0.24, 95% CI: 0.03, 0.46) at 3 years and higher odds of nutrition risk (OR: 1.39, 95% CI: 1.07,1.82) at 5 years.ConclusionsChildren with underweight in the first 2 years had higher nutrition risk in later childhood. Further research is needed to understand the factors which influence these relationships.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Underweight in the first 2 years of life and nutrition risk in later childhood: a prospective cohort study

South,

Keown‐Stoneman,

Birken

et al. 2023

J Human Nutrition Diet

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Recruitment and retention strategies to promote research engagement among caregivers and their children: A scoping review

Corr,

Jusufagic,

Basting

et al. 2024

J. Clin. Trans. Sci.

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Long-term health and developmental impact after in utero opioid and other substance exposures is unclear. There is an urgent need for well-designed, prospective, long-term observational studies. The HEALthy Brain and Child Development Study aims to address this need. It will require optimizing recruitment and retention of caregivers and young children in long-term research. Therefore, a scoping review of original research articles, indexed in the PubMed database and published in English between January 1, 2010, and November 23, 2023, was conducted on recruitment and retention strategies of caregiver–child (≤6 years old) dyads in observational, cohort studies. Among 2,902 titles/abstracts reviewed, 37 articles were found eligible. Of those, 29 (78%) addressed recruitment, and 18 (49%) addressed retention. Thirty-four (92%) articles focused on strategies for facilitating recruitment and/or retention, while 18 (49%) described potentially harmful approaches. Recruitment and retention facilitators included face-to-face and regular contact, establishing a relationship with study personnel, use of technology and social platforms, minimizing inconveniences, and promoting incentives. This review demonstrates that numerous factors can affect engagement of caregivers and their children in long-term cohort studies. Better understanding of these factors can inform researchers about optimal approaches to recruitment and retention of caregiver–child dyads in longitudinal research.

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Early childhood body mass index growth and school readiness: A longitudinal cohort study

Li,

Kahane,

Keown‐Stoneman

et al. 2024

Paediatric Perinatal Epid

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BackgroundChild growth influences future health and learning. School readiness refers to a child's ability to meet developmental expectations at school entry. The association of early growth rate and patterns with school readiness remains unknown.ObjectiveTo determine the association of child body mass index (BMI) growth with school readiness in a cohort of young children.MethodsA prospective cohort study (2015–2022) was conducted in children 0–6 years enrolled in the TARGet Kids! research network in Toronto, Canada. Two analytical approaches were used to measure growth using child weight and height/length data between 0 and 4 years: (i) age‐ and sex‐standardised BMI (zBMI) growth rate per year using a piecewise linear model; and (ii) distinct zBMI trajectories using latent class mixed models. School readiness (4–6 years) was measured using teacher‐completed Early Development Instrument (EDI). Robust Poisson models and marginal linear models using generalised estimating equations were used adjusting for confounders identified a priori.ResultsIn this study of 1077 children (mean age at EDI completion: 4.8 years; 52.6% male) with 6415 zBMI measurements, mean growth rate was 0.65 zBMI units/year (0–2 years) and −0.11 zBMI units/year (2–4 years). Two distinct zBMI trajectories were identified: the stable trajectory and the catch‐up trajectory. There was insufficient evidence that zBMI growth rates (risk ratio 1.10, 95% confidence interval 0.78, 1.55 for 0–2 years; risk ratio 0.71, 95% confidence interval 0.32, 1.57 for 2–4 years) or trajectories (risk ratio 1.05, 95% confidence interval 0.82, 1.35, catch‐up trajectory vs. stable trajectory) were associated with school readiness.ConclusionsNo association was found between BMI growth and school readiness. School readiness may be more impacted by factors directly related to obesity or adiposity at the time of EDI measurement rather than growth.

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Factors associated with research participation in a large primary care practice-based pediatric cohort: Results from the TARGet Kids! longitudinal cohort study

Cited by 4 publications

References 31 publications

Underweight in the first 2 years of life and nutrition risk in later childhood: a prospective cohort study

Underweight in the first 2 years of life and nutrition risk in later childhood: a prospective cohort study

Recruitment and retention strategies to promote research engagement among caregivers and their children: A scoping review

Early childhood body mass index growth and school readiness: A longitudinal cohort study

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